AI RESEARCH
GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion
arXiv CS.CV
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ArXi:2605.12957v1 Announce Type: new Recent developments in generative models and large-scale datasets have substantially advanced 3D world generation, facilitating a broad range of domains including spatial intelligence, embodied intelligence, and autonomous driving. While achieving remarkable progress, existing approaches to 3D world generation typically prioritize appearance prediction with limited modeling of the underlying geometry, leading to issues such as unreliable scene structure estimation and degraded cross-view consistency.